Jason T

Experience

1. Senior Ai Ml Full-stack Python Engineer

   PathAI

   Oct 2022 — Present · Boston, MA, US

   Built and deployed scalable NLP pipelines using LangChain to integrate LLMs like OpenAI GPT-4 and Hugging Face transformers for medical text summarization, clinical data extraction, and pathology report analysis, optimizing workflow automation by 40% for PathAI\'s AI-driven diagnostics platform. Developed and fine-tuned deep learning models using TensorFlow for medical image analysis, enabling accurate detection of pathological patterns and improving diagnostic precision by 25%, while ensuring scalability and deployment through TensorFlow Serving in PathAI\'s production pipeline. Designed and deployed scalable microservices using Python, FastAPI, and Django, reducing system response time by 30% for real-time pathology image processing tasks, while ensuring high availability and fault tolerance. Engineered high-performance, concurrent backend services using Go, optimizing request handling and reducing latency by 40% for critical machine learning workflows in PathAI\'s diagnostic platform. Developed and maintained real-time inference systems for automated pathology diagnosis, leveraging Kubernetes, Docker, and CI/CD pipelines to ensure scalable, efficient, and reliable deployment of AI/ML models in production. Designed and implemented distributed data pipelines using Apache Spark to process and analyze terabytes of medical imaging and pathology data, accelerating feature extraction for AI models by 50% and enabling real-time insights for PathAI\'s diagnostic platform. Developed dynamic, scalable front-end applications using React and TypeScript, integrating GraphQL APIs to enable efficient data fetching and improve UI performance by 35%, delivering seamless user experiences for PathAI\'s diagnostic platforms. Orchestrated cloud-native applications on AWS leveraging services like Lambda, EC2, S3, and API Gateway, achieving a 25% reduction in infrastructure costs while enhancing scalability, reliability, and performance for machine learning model deployments.

Education

• Belmont University

  Bachelor's degree

  2011 — 2015